Daniel Molina

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 35

Top Topics

Memetic Algorithm

Evolutionary Algorithm

Special Session

Global Optimization

Top Venues

Appl. Soft Comput.

Swarm Evol. Comput.

Publications

Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR (2024)
Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance. Inf. Fusion 103 (2024)
Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness. CoRR (2023)
Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks. Neural Networks 158 (2023)
Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications. CoRR (2023)
Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness. Appl. Soft Comput. 147 (2023)
Xiu Liu, Ning Wang, Daniel Molina, Francisco Herrera
A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems. Appl. Soft Comput. 117 (2022)
Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks. CoRR (2022)
Javier Del Ser, Eneko Osaba, Aritz D. Martinez, Miren Nekane Bilbao, Javier Poyatos, Daniel Molina, Francisco Herrera
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems. SSCI (2021)
Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Poyatos, Javier Del Ser, Francisco Herrera
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms. Swarm Evol. Comput. 67 (2021)
Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges. Inf. Fusion 67 (2021)
Iván Palomares, Eugenio Martínez-Cámara, Rosana Montes, Pablo García-Moral, Manuel Chiachío, Juan Chiachío, Sergio Alonso, Francisco J. Melero, Daniel Molina, Bárbara Fernández, Cristina Moral, Rosario Marchena, Javier Pérez de Vargas, Francisco Herrera
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects. Appl. Intell. 51 (9) (2021)
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. Swarm Evol. Comput. 64 (2021)
Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations. Cogn. Comput. 12 (5) (2020)
Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Del Ser, Francisco Herrera
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics. CoRR (2020)
Daniel Molina, Kislay Kumar, Siddharth Srivastava
Learn and Link: Learning Critical Regions for Efficient Planning. ICRA (2020)
Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58 (2020)
Cosimo Stallo, Alessandro Neri, Pietro Salvatori, Francesco Rispoli, Olivier Desenfans, Juliette Marais, Antonio Aguila, Beatriz Sierra, Ricardo Campo, Daniel Molina, Susana Herranz, Xavier Leblan, Giuseppe Rotondo
Geo-Distributed Simulation and Verification Infrastructure for safe train Galileo-based positioning. ENC (2020)
Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations. CoRR (2020)
Óscar Gómez, Óscar Ibáñez, Andrea Valsecchi, Enrique Bermejo Nievas, Daniel Molina, Oscar Cordón
Performance analysis of real-coded evolutionary algorithms under a computationally expensive optimization scenario: 3D-2D Comparative Radiography. Appl. Soft Comput. 97 (Part) (2020)
Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges. CoRR (2020)
Antonio LaTorre, Daniel Molina
On The Role Of Execution Order In Hybrid Evolutionary Algorithms. CEC (2020)
Daniel Molina, Kislay Kumar, Siddharth Srivastava
Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks. CoRR (2019)
Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. CoRR (2019)
Daniel Molina, Arthur R. Nesterenko, Antonio LaTorre
Comparing Large-Scale Global Optimization Competition winners in a real-world problem. CEC (2019)
Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
Bio-inspired computation: Where we stand and what's next. Swarm Evol. Comput. 48 (2019)
Miguel León Ortiz, Ning Xiong, Daniel Molina, Francisco Herrera
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search. Int. J. Comput. Intell. Syst. 12 (2) (2019)
Daniel Molina, Francisco Herrera
Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization. CEC (2019)
Daniel Molina, Antonio LaTorre
Toolkit for the Automatic Comparison of Optimizers: Comparing Large-Scale Global Optimizers Made Easy. CEC (2018)
Daniel Molina, Antonio LaTorre, Francisco Herrera
SHADE with Iterative Local Search for Large-Scale Global Optimization. CEC (2018)
Daniel Molina, Antonio LaTorre, Francisco Herrera
An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions. Cogn. Comput. 10 (4) (2018)
Carlos García-Martínez, Pablo David Gutiérrez, Daniel Molina, Manuel Lozano, Francisco Herrera
Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness. Soft Comput. 21 (19) (2017)
Daniel Molina, Francisco Moreno-Garcia, Francisco Herrera
Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement? CEC (2017)
Benjamin Lacroix, Daniel Molina, Francisco Herrera
Region-based memetic algorithm with archive for multimodal optimisation. Inf. Sci. (2016)
Sancho Salcedo-Sanz, Carlos Camacho-Gómez, Daniel Molina, Francisco Herrera
A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization. CEC (2016)
Ning Xiong, Daniel Molina, Miguel León Ortiz, Francisco Herrera
A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends. Int. J. Comput. Intell. Syst. 8 (4) (2015)
Daniel Molina, Francisco Herrera
Iterative hybridization of DE with Local Search for the CEC'2015 special session on large scale global optimization. CEC (2015)
Miguel Lastra, Daniel Molina, José Manuel Benítez
A high performance memetic algorithm for extremely high-dimensional problems. Inf. Sci. 293 (2015)
Tianjun Liao, Daniel Molina, Thomas Stützle
Performance evaluation of automatically tuned continuous optimizers on different benchmark sets. Appl. Soft Comput. 27 (2015)
Benjamin Lacroix, Daniel Molina, Francisco Herrera
Region based memetic algorithm for real-parameter optimisation. Inf. Sci. 262 (2014)
Tianjun Liao, Daniel Molina, Marco Antonio Montes de Oca, Thomas Stützle
A Note on Bound Constraints Handling for the IEEE CEC'05 Benchmark Function Suite. Evol. Comput. 22 (2) (2014)
Daniel Molina, Benjamin Lacroix, Francisco Herrera
Influence of regions on the memetic algorithm for the CEC'2014 Special Session on Real-Parameter Single Objective Optimisation. IEEE Congress on Evolutionary Computation (2014)
Daniel Molina, Amilkar Puris, Rafael Bello, Francisco Herrera
Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization. IEEE Congress on Evolutionary Computation (2013)
Benjamin Lacroix, Daniel Molina, Francisco Herrera
Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization. IEEE Congress on Evolutionary Computation (2013)
Christoph Bergmeir, Isaac Triguero, Daniel Molina, José Luis Aznarte, José Manuel Benítez
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models. IEEE Trans. Neural Networks Learn. Syst. 23 (11) (2012)
Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera
Variable mesh optimization for continuous optimization problems. Soft Comput. 16 (3) (2012)
Jaan Praks, Martti Hallikainen, Oleg Antropov, Daniel Molina
Boreal forest tree height estimation from interferometric TanDEM-X images. IGARSS (2012)
Jaime Tamarit, Daniel Molina, Jose Bueno
Validation of reference laboratories to put in service Railway projects (tracks and trains). Intelligent Vehicles Symposium (2012)
Benjamin Lacroix, Daniel Molina, Francisco Herrera
Region based memetic algorithm with LS chaining. IEEE Congress on Evolutionary Computation (2012)
Tianjun Liao, Daniel Molina, Thomas Stützle, Marco Antonio Montes de Oca, Marco Dorigo
An ACO algorithm benchmarked on the BBOB noiseless function testbed. GECCO (Companion) (2012)
Jesús Marín, Daniel Molina, Francisco Herrera
Modeling dynamics of a real-coded CHC algorithm in terms of dynamical probability distributions. Soft Comput. 16 (2) (2012)
Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera
Optimising real parameters using the information of a mesh of solutions: VMO algorithm. IEEE Congress on Evolutionary Computation (2012)
Manuel Lozano, Daniel Molina, Carlos García-Martínez
Iterated greedy for the maximum diversity problem. Eur. J. Oper. Res. 214 (1) (2011)
Manuel Lozano, Daniel Molina, Francisco Herrera
Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. Soft Comput. 15 (11) (2011)
Daniel Molina, Manuel Lozano, Ana M. Sánchez, Francisco Herrera
Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains. Soft Comput. 15 (11) (2011)
Joaquín Derrac, Salvador García, Daniel Molina, Francisco Herrera
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol. Comput. 1 (1) (2011)
José Luis Aznarte, Daniel Molina, Ana M. Sánchez, José Manuel Benítez
A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters. Appl. Intell. 34 (3) (2011)
Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains. Evol. Comput. 18 (1) (2010)
Daniel Molina, Manuel Lozano, Francisco Herrera
MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization. IEEE Congress on Evolutionary Computation (2010)
Salvador García, Daniel Molina, Manuel Lozano, Francisco Herrera
A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Special Session on Real Parameter Optimization. J. Heuristics 15 (6) (2009)
Daniel Molina, Manuel Lozano, Francisco Herrera
Memetic algorithm with Local search chaining for large scale continuous optimization problems. IEEE Congress on Evolutionary Computation (2009)
Daniel Molina, Manuel Lozano, Francisco Herrera
Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems. LION (2009)
Daniel Molina, Manuel Lozano, Francisco Herrera
Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test. ISDA (2009)
Carlos Angel Iglesias, Mercedes Garijo, Daniel Molina, Paloma de Juan
VMAP: A Dublin Core Application Profile for Musical Resources. MTSR (2009)
Daniel Molina, Manuel Lozano, Francisco Herrera
A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions. GECCO (Companion) (2009)
Daniel Molina, Manuel Lozano, Francisco Herrera
A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions. GECCO (Companion) (2009)
Daniel Molina, Matthew Zimmerman, Gregory Roberts, Marnita Eaddie, Gilbert L. Peterson
Timely Rootkit Detection During Live Response. IFIP Int. Conf. Digital Forensics (2008)
Carlos García-Martínez, Manuel Lozano, Francisco Herrera, Daniel Molina, Ana M. Sánchez
Global and local real-coded genetic algorithms based on parent-centric crossover operators. Eur. J. Oper. Res. 185 (3) (2008)
Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera
Memetic Algorithm for Intense Local Search Methods Using Local Search Chains. Hybrid Metaheuristics (2008)
Ana M. Sánchez, Manuel Lozano, Carlos García-Martínez, Daniel Molina, Francisco Herrera
Real-parameter crossover operators with multiple descendents: An experimental study. Int. J. Intell. Syst. 23 (2) (2008)
Carlos García-Martínez, Manuel Lozano, Daniel Molina
A Local Genetic Algorithm for Binary-Coded Problems. PPSN (2006)
Francisco Herrera, Manuel Lozano, Daniel Molina
Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies. Eur. J. Oper. Res. 169 (2) (2006)
Daniel Molina, Francisco Herrera, Manuel Lozano
Adaptive local search parameters for real-coded memetic algorithms. Congress on Evolutionary Computation (2005)
Manuel Lozano, Francisco Herrera, Natalio Krasnogor, Daniel Molina
Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evol. Comput. 12 (3) (2004)